Special Issue "Recent Advances in Continuous Glucose Monitoring Sensors"
Deadline for manuscript submissions: 31 July 2021.
Interests: Signal processing and modeling techniques for the analysis of glucose sensor data; strategies for type 1 diabetes insulin therapy optimization; statistical learning; machine-learning techniques applied to clinical predictive model development
Special Issues and Collections in MDPI journals
Special Issue in Sensors: Glucose Sensors and Artificial Intelligence
Interests: Signal processing and classification of biomedical signals; algorithms and software to improve both performance and usability of continuous glucose monitoring (CGM) sensors; statistical methods and machine learning techniques to analyze big data in medicine
Interests: Sensors and algorithms for continuous glucose monitoring; deconvolution and parameter estimation techniques for the study of physiological systems; linear and nonlinear biological time-series analysis; measurement and processing of biomedical signals (EEG, event-related potentials, local field potentials, fNIRS, etc.) for clinical research and applications
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In the last 20 years, we have experienced a revolution of glucose monitoring with the introduction of continuous glucose monitoring (CGM) sensors that can measure interstitial glucose concentration almost continuously for several days or weeks. CGM sensors can really be a game changer in the therapy of diabetes (especially type 1 diabetes), because the rich information they provide can be used to improve both patient and clinician decision-making with positive effects on glycemic control.
Most CGM devices currently on the market are based on minimally invasive electrochemical sensors. Implantable fluorescence sensors have also recently been developed and brought into the market. Other technologies have been investigated for noninvasive monitoring of glucose concentration in various biological fluids (e.g., interstitial fluid, tears, and saliva).
Although the first CGM sensors suffered from poor accuracy and required frequent calibration with capillary glucose measurements, great improvements were recently achieved for both sensing technologies and processing algorithms, with resulting improvements in sensor accuracy. Nevertheless, the accuracy of CGM sensors can still be problematic in some situations, such as immediately after sensor insertion, in proximity of the sensor end-of-life, and during rapid glucose changes. Moreover, the estimation of glucose trends and the generation of predictive alerts remains challenging because of the presence of noise on the CGM trace.
In this Special Issue, we seek original papers and review papers on the recent advances in CGM sensors, including:
- New CGM technologies (e.g., new sensing technologies);
- New algorithms for improving the analytical performance of CGM sensors (e.g., calibration and filtering algorithms);
- New algorithms to enhance the output of CGM devices (e.g., new algorithms for trend estimation and alert generation).
Dr. Martina Vettoretti
Dr. Andrea Facchinetti
Prof. Dr. Giovanni Sparacino
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- continuous glucose monitoring
- wearable glucose sensors
- minimally invasive glucose sensors
- implantable glucose sensors
- noninvasive glucose sensors
- calibration algorithms
- glucose prediction